Regulatory Quality - Governance estimate in Malaysia
Malaysia: Regulatory Quality - Governance estimate was 0.6805 approx. -2.5 to +2.5 in 2024. ▲ Rising
Regulatory Quality - Governance estimate in Malaysia, 1996–2024
Source: The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG). Measured in approx. -2.5 to +2.5.
Analysis
In 2024, regulatory quality - governance estimate in Malaysia stood at 0.6805 approx. -2.5 to +2.5.
The figure is up 15.6% on the previous year and down 22.9% over ten years.
Over the whole period, regulatory quality - governance estimate in Malaysia peaked at 0.8828 approx. -2.5 to +2.5 in 2014 and was at its lowest, 0.3917 approx. -2.5 to +2.5, in 1998.
That places Malaysia 48th out of 204 countries with data for 2024, putting it in the top quarter.
The long-run direction has been consistently rising across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.4261 approx. -2.5 to +2.5 | 0.3917 approx. -2.5 to +2.5 | 0.4604 approx. -2.5 to +2.5 | 2 |
| 2000s | 0.5942 approx. -2.5 to +2.5 | 0.4097 approx. -2.5 to +2.5 | 0.7212 approx. -2.5 to +2.5 | 9 |
| 2010s | 0.7422 approx. -2.5 to +2.5 | 0.5249 approx. -2.5 to +2.5 | 0.8828 approx. -2.5 to +2.5 | 10 |
| 2020s | 0.6584 approx. -2.5 to +2.5 | 0.5884 approx. -2.5 to +2.5 | 0.7296 approx. -2.5 to +2.5 | 5 |
Countries ranked near Malaysia
More reference data data for Malaysia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.7102 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.5869 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.62 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1487 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.62 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.38 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.64 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 3.29 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 21.1 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.8098 (2050)
Frequently asked questions
- What is regulatory quality - governance estimate in Malaysia?
- Regulatory quality - governance estimate in Malaysia was 0.6805 approx. -2.5 to +2.5 in 2024, according to The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG).
- What is the highest regulatory quality - governance estimate recorded in Malaysia?
- The highest recorded value was 0.8828 approx. -2.5 to +2.5 in 2014.
- What is the lowest regulatory quality - governance estimate recorded in Malaysia?
- The lowest recorded value was 0.3917 approx. -2.5 to +2.5 in 1998.
- How does Malaysia rank for regulatory quality - governance estimate?
- Malaysia ranks 48th out of 204 countries with data for 2024.
- Is regulatory quality - governance estimate rising or falling in Malaysia?
- Over the last ten years it is down 22.9%. The long-run trend across the full record is rising.
- Where does this Malaysia data come from?
- The figures come from The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as part of Regulatory Quality - Governance estimate (approx. -2.5 to +2.5). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Regulatory Quality (RQ) captures perceptions of the government’s ability to design and implement policies and regulations that promote private sector development. Governance estimate from the aggregation model, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. Larger values correspond to better governance. The (country-series-time) metadata include the (a) number of sources, and (b) standard error. The number of sources indicates the number of underlying data sources on which the governance estimate is based. The standard error indicates the precision of the governance estimate. Larger values indicate less precise estimates. A 90% confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.